Papers
Topics
Authors
Recent
Gemini 2.5 Flash
Gemini 2.5 Flash 94 tok/s
Gemini 2.5 Pro 57 tok/s Pro
GPT-5 Medium 28 tok/s
GPT-5 High 38 tok/s Pro
GPT-4o 100 tok/s
GPT OSS 120B 461 tok/s Pro
Kimi K2 208 tok/s Pro
2000 character limit reached

Localization of reinforced random walks (1103.5536v1)

Published 29 Mar 2011 in math.PR

Abstract: We describe and analyze how reinforced random walks can eventually localize, i.e. only visit finitely many sites. After introducing vertex and edge self-interacting walks on a discrete graph in a general setting, and stating the main results and conjectures so far on the topic, we present martingale techniques that provide an alternative proof of the a.s. localization of vertex-reinforced random walks (VRRWs) on the integers on finitely many sites and, with positive probability, on five consecutive sites, initially proved by Pemantle and Volkov (1999). Next we introduce the continuous time-lines representation (sometimes called Rubin construction) and its martingale counterpart, and explain how it has been used to prove localization of some reinforced walks on one attracting edge. Then we show how a modified version of this construction enables one to propose a new short proof of the a.s. localization of VRRWs on five sites on Z.

List To Do Tasks Checklist Streamline Icon: https://streamlinehq.com

Collections

Sign up for free to add this paper to one or more collections.

Summary

We haven't generated a summary for this paper yet.

Ai Generate Text Spark Streamline Icon: https://streamlinehq.com

Paper Prompts

Sign up for free to create and run prompts on this paper using GPT-5.

Dice Question Streamline Icon: https://streamlinehq.com

Follow-up Questions

We haven't generated follow-up questions for this paper yet.

Authors (1)